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Vitenskapelig artikkelFast and Accurate Framework for Ontology Matching in Web of Things– ACM Transactions on Asian and Low-Resource Language Information Processing (TALLIP) 2023
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Vitenskapelig artikkelFederated deep learning for smart city edge-based applications– Future generations computer systems 2023
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Vitenskapelig artikkelInterpretable intrusion detection for next generation of Internet of Things– Computer Communications 2023
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Vitenskapelig artikkelHybrid graph convolution neural network and branch-and-bound optimization for traffic flow forecasting– Future generations computer systems 2023
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Vitenskapelig artikkelAn intelligent collaborative image-sensing system for disease detection– IEEE Sensors Journal 2023
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Vitenskapelig artikkelBIoMT-ISeg: Blockchain internet of medical things for intelligent segmentation– Frontiers in Physiology 2023
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Vitenskapelig kapittelHow Image Retrieval and Matching Can Improve Object Localisation on Offshore Platforms– 2022
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Vitenskapelig kapittelDeep Learning for Estimating Sleeping Sensor’s Values in Sustainable IoT Applications– 2022
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Vitenskapelig artikkelIntelligent Graph Convolutional Neural Network for Road Crack Detection– IEEE transactions on intelligent transportation systems (Print) 2022
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Vitenskapelig artikkelIntelligent Deep Fusion Network for Anomaly Identification in Maritime Transportation Systems– IEEE transactions on intelligent transportation systems (Print) 2022
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Vitenskapelig artikkelAn Efficient and Accurate GPU-based Deep Learning Model for Multimedia Recommendation– ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP) 2022
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Vitenskapelig artikkelHybrid RESNET and Regional Convolution Neural Network Framework for Accident Estimation in Smart Roads– IEEE transactions on intelligent transportation systems (Print) 2022
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Vitenskapelig artikkelTowards an Advanced Deep Learning for the Internet of Behaviors: Application to Connected Vehicles– ACM transactions on sensor networks 2022
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Vitenskapelig artikkelToward a Cognitive-Inspired Hashtag Recommendation for Twitter Data Analysis– IEEE Transactions on Computational Social Systems 2022
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Vitenskapelig artikkelGroup intrusion detection in the Internet of Things using a hybrid recurrent neural network– Cluster Computing 2022
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Vitenskapelig artikkelArtificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism– Expert Systems 2022
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Vitenskapelig artikkelRecurrent neural network with density-based clustering for group pattern detection in energy systems– Sustainable Energy Technologies and Assessments 2022
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Vitenskapelig artikkelVehicle detection using improved region convolution neural network for accident prevention in smart roads– Pattern Recognition Letters 2022
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Vitenskapelig artikkelDeep learning based hashtag recommendation system for multimedia data– Information Sciences 2022
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Vitenskapelig artikkelWhen explainable AI meets IoT applications for supervised learning– Cluster Computing 2022
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Vitenskapelig artikkelAn edge-driven multi-agent optimization model for infectious disease detection– Applied intelligence (Boston) 2022
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Vitenskapelig artikkelEfficient evolutionary computation model of closed high-utility itemset mining– Applied intelligence (Boston) 2022
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Vitenskapelig artikkelA sustainable deep learning framework for fault detection in 6G Industry 4.0 heterogeneous data environments– Computer Communications 2022
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Vitenskapelig artikkelIntelligent deep fusion network for urban traffic flow anomaly identification– Computer Communications 2022
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Vitenskapelig artikkelLarge-Scale Closed High-Utility Itemset Mining– IEEE International Conference on Data Mining Workshops, ICDMW 2021
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Vitenskapelig kapittelA Graphic CNN-LSTM Model for Stock Price Predication– 2021
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Vitenskapelig kapittelMining of High-Utility Patterns in Big IoT Databases– 2021
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Vitenskapelig kapittelDetection of Trajectory Outliers in Intelligent Transportation Systems– 2021
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Vitenskapelig kapittelA Deep Q-Learning Sanitization Approach for Privacy Preserving Data Mining– 2021
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Vitenskapelig artikkelSecure Collaborative Augmented Reality Framework for Biomedical Informatics– IEEE journal of biomedical and health informatics 2021
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Vitenskapelig artikkelKnowledge graph based trajectory outlier detection in sustainable smart cities– Sustainable Cities and Society (SCS) 2021
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Vitenskapelig artikkelEmergent Deep Learning for Anomaly Detection in Internet of Everything– IEEE Internet of Things Journal 2021
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Vitenskapelig artikkelDeviation Point Curriculum Learning for Trajectory Outlier Detection in Cooperative Intelligent Transport Systems– IEEE transactions on intelligent transportation systems (Print) 2021
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Vitenskapelig artikkelScalable Mining of High-Utility Sequential Patterns With Three-Tier MapReduce Model– ACM Transactions on Knowledge Discovery from Data 2021
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Vitenskapelig artikkelHybrid Group Anomaly Detection for Sequence Data: Application to Trajectory Data Analytics– IEEE transactions on intelligent transportation systems (Print) 2021
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Vitenskapelig artikkelFast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things– IEEE Internet of Things Journal 2021
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Vitenskapelig artikkelSecurity protocol of sensitive high utility itemset hiding in shared IoT environments– Digital Communications and Networks 2021
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Vitenskapelig artikkelSensor data fusion for the industrial artificial intelligence of things– Expert Systems 2021
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Vitenskapelig artikkelSelf-adjusting k nearest neighbors for continual learning from multi-label drifting data streams– Neurocomputing 2021
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Vitenskapelig artikkelAn improved opposition-based marine predators algorithm for global optimization and multilevel thresholding image segmentation– Knowledge-Based Systems 2021
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Vitenskapelig artikkelDeep learning based decomposition for visual navigation in industrial platforms– Applied intelligence (Boston) 2021
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Vitenskapelig artikkelA nutrient recommendation system for soil fertilization based on evolutionary computation– Computers and Electronics in Agriculture 2021
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Vitenskapelig artikkelMining Profitable and Concise Patterns in Large-Scale Internet of Things Environments– Wireless Communications & Mobile Computing 2021
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Vitenskapelig artikkelAn ontology matching approach for semantic modeling: A case study in smart cities– Computational Intelligence 2021
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Vitenskapelig artikkelIntelligent blockchain management for distributed knowledge graphs in IoT 5G environments– Transactions on Emerging Telecommunications Technologies 2021
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Vitenskapelig artikkelReinforcement learning multi-agent system for faults diagnosis of mircoservices in industrial settings– Computer Communications 2021
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Vitenskapelig artikkelMachine Learning for Identifying Group Trajectory Outliers– ACM Transactions on Management Information Systems (TMIS) 2021
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Vitenskapelig artikkelTrajectory outlier detection: New problems and solutions for smart cities– ACM Transactions on Knowledge Discovery from Data 2021
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Vitenskapelig artikkelA predictive GA-based model for closed high-utility itemset mining– Applied Soft Computing 2021
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Vitenskapelig artikkelEfficient closed high-utility pattern fusion model in large-scale databases– Information Fusion 2021
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Vitenskapelig artikkelHybrid intelligent framework for automated medical learning– Expert Systems 2021
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Vitenskapelig artikkelPrivacy reinforcement learning for faults detection in the smart grid– Ad hoc networks 2021
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Vitenskapelig artikkelSS-ITS: secure scalable intelligent transportation systems– The Journal of Supercomputing 2021
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Vitenskapelig artikkelLinguistic frequent pattern mining using a compressed structure– Applied intelligence (Boston) 2021
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Vitenskapelig artikkelMining of high-utility patterns in big IoT-based databases– Mobile Networks and Applications 2021
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Vitenskapelig artikkelDeep learning for pedestrian collective behavior analysis in smart cities: A model of group trajectory outlier detection– Information Fusion 2021
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Vitenskapelig artikkelExploring Decomposition for Solving Pattern Mining Problems– ACM Transactions on Management Information Systems (TMIS) 2021
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Vitenskapelig artikkelFast and accurate convolution neural network for detecting manufacturing data– IEEE Transactions on Industrial Informatics 2021
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Vitenskapelig kapittelHybrid Decomposition Convolution Neural Network and Vocabulary Forest for Image Retrieval– 2021
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Vitenskapelig kapittelMining Multiple Fuzzy Frequent Patterns with Compressed List Structures– 2020
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Vitenskapelig artikkelWhen the Decomposition Meets the Constraint Satisfaction Problem– IEEE Access 2020
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Vitenskapelig artikkelPrivacy Preserving Multi-Objective Sanitization Model in 6G IoT Environments– IEEE Internet of Things Journal 2020
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Vitenskapelig artikkelDeep Learning Versus Traditional Solutions for Group Trajectory Outliers– IEEE Transactions on Cybernetics 2020
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Vitenskapelig artikkelA Two-Phase Anomaly Detection Model for Secure Intelligent Transportation Ride-Hailing Trajectories– IEEE transactions on intelligent transportation systems (Print) 2020
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Vitenskapelig artikkelUncertain-Driven Analytics of Sequence Data in IoCV Environments– IEEE transactions on intelligent transportation systems (Print) 2020
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Vitenskapelig artikkelAn Evolutionary Model to Mine High Expected Utility Patterns From Uncertain Databases– IEEE Transactions on Emerging Topics in Computational Intelligence (TETCI) 2020
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Vitenskapelig artikkelEfficient Chain Structure for High-Utility Sequential Pattern Mining– IEEE Access 2020
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Vitenskapelig artikkelASRNN: A recurrent neural network with an attention model for sequence labeling– Knowledge-Based Systems 2020
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Vitenskapelig artikkelTrajectory outlier detection: Algorithms, taxonomies, evaluation, and open challenges– ACM Transactions on Management Information Systems (TMIS) 2020
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Vitenskapelig artikkelFast and accurate group outlier detection for trajectory data– Communications in Computer and Information Science 2020
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Vitenskapelig artikkelCluster-based information retrieval using pattern mining– Applied intelligence (Boston) 2020
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Vitenskapelig artikkelIncrementally updating the high average-utility patterns with pre-large concept– Applied intelligence (Boston) 2020
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Vitenskapelig artikkelEfficient mining of pareto-front high expected utility patterns– Lecture Notes in Computer Science (LNCS) 2020
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Vitenskapelig artikkelExploring Pattern Mining Algorithms for Hashtag Retrieval Problem– IEEE Access 2020
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Vitenskapelig artikkelSpace–time series clustering: Algorithms, taxonomy, and case study on urban smart cities– Engineering Applications of Artificial Intelligence 2020
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Vitenskapelig artikkelA general-purpose distributed pattern mining system– Applied intelligence (Boston) 2020
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Vitenskapelig artikkelA recurrent neural network for urban long-term traffic flow forecasting– Applied intelligence (Boston) 2020
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Vitenskapelig artikkelA data-driven approach for twitter hashtag recommendation– IEEE Access 2020
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Vitenskapelig artikkelData mining-based approach for ontology matching problem– Applied intelligence (Boston) 2020
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Vitenskapelig artikkelAn Efficient Chain Structure to Mine High-Utility Sequential Patterns– IEEE International Conference on Data Mining Workshops, ICDMW 2019
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Vitenskapelig kapittelMining High-Utility Sequential Patterns from Big Datasets– 2019
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Vitenskapelig kapittelA Swarm-based Data Sanitization Algorithm in Privacy-Preserving Data Mining– 2019
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Vitenskapelig kapittelA Novel Parallel Framework for Metaheuristic-based Frequent Itemset Mining– 2019
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Vitenskapelig kapittelSingle Scan Polynomial Algorithms for Frequent Itemset Mining in Big Databases– 2019
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Vitenskapelig kapittelGFSOM: Genetic Feature Selection for Ontology Matching– 2019
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Vitenskapelig artikkelExploring Pattern Mining for Solving the Ontology Matching Problem– Communications in Computer and Information Science 2019
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Vitenskapelig artikkelA (k, p)-anonymity Framework to Sanitize Transactional Database with Personalized Sensitivity– Journal of Internet Technology 2019
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Vitenskapelig artikkelMachine Learning for Smart Building Applications: Review and Taxonomy– ACM Computing Surveys 2019
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Vitenskapelig kapittelHighly Efficient Pattern Mining Based on Transaction Decomposition– 2019
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Vitenskapelig kapittelMetaheuristics for Frequent and High-Utility Itemset Mining– 2019
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Vitenskapelig artikkelA Sanitization Approach to Secure Shared Data in an IoT Environment– IEEE Access 2019
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Vitenskapelig artikkelHiding sensitive itemsets with multiple objective optimization– Soft Computing - A Fusion of Foundations, Methodologies and Applications 2019
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Vitenskapelig artikkelA Survey on Urban Traffic Anomalies Detection Algorithms– IEEE Access 2019
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Vitenskapelig artikkelAdapted k-Nearest Neighbors for Detecting Anomalies on Spatio-Temporal Traffic Flow– IEEE Access 2019
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Vitenskapelig artikkelThe density-based clustering method for privacy-preserving data mining– Mathematical Biosciences and Engineering 2019
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Vitenskapelig artikkelPPSF: An Open-Source Privacy-Preserving and Security Mining Framework– IEEE International Conference on Data Mining Workshops, ICDMW 2018
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Vitenskapelig artikkelFrequent Itemset Mining in Big Data with Effective Single Scan Algorithms– IEEE Access 2018
